agent-from-scratch is a Python-based repository designed for developers and researchers interested in understanding the inner workings of single and multi-agent systems

Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A

Multi AI Agents System from Scratch in pure python without any frameworks.

Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video (coming soon)

Learn to build powerful AI agents from scratch. This repository contains tutorials, examples, and production-ready code for implementing intelligent automation with LLMs and multi-agent systems.

A production-oriented course repository that walks through building a multi-agent chatbot from scratch. Covers backend APIs, agent orchestration, tool-using agents, streaming, authentication, infrastructure, and frontend integration—going beyond demos to real-world systems.

Learn to build AI agents from scratch: chat loops → tool use → ReAct reasoning → memory → RAG → multi-agent systems → autonomous agents

In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.

This project is a from-scratch implementation of a multi-agent system for educational purposes. It demonstrates how multiple AI agents can collaborate to analyze resumes, categorize job opportunities, and search for relevant job listings on the internet using Google's Gemini API.

Multi Agent System from Scratch

🚁 Drone RL: Autonomous quadrotor trained with PPO/SAC/DreamerV3/MARL from scratch on CPU | PyBullet + Gazebo Harmonic | Hover 100% | Navigation 92% | Storm 8m/s 95% | Weather system | Multi-Agent Swarm

Give it one goal. Watch 6 AI agents collaborate in real time. Get a full executive report in 30 seconds. AgentFlow is a multi-agent AI orchestration system built from scratch — no LangChain, no CrewAI, no frameworks. A Planner LLM decomposes your goal into structured subtasks, 4 specialist Worker agents execute in parallel using Promise.all().

A comprehensive guide to building multi-agent systems from scratch, based on production patterns from Claude Code and OpenClaw.

A comprehensive, hands-on tutorial for building AI agents from scratch. Learn to create intelligent agents with memory, tools, planning capabilities, and multi-agent systems through progressive, practical examples.

Deep Multi-Agent Research System from Scratch with LangGraph by LangChain, utilizing Model Context Protocol (MCP) and Tavily for web search for daily use cases.

This is Crypto Multi Ai Agent system building from scratch in python without any dependency of frameworks! This Multi Ai Agent system leverate OpenAI's GPT-4o model with a simple Stremlit web interface to tackle specialized tasks to create agentic systems without using orchestration frameworks like Crew AI or LangGraph

haGo — hyper aligned Generative Orchestrator — is an agentic AI assistant built from scratch for personal productivity, system automation, and multi-channel communication. It connects to multiple LLM providers (Gemini, Claude, OpenAI, Ollama), exposes 30+ tools, and includes a self-reflective "mind" system that learns from its own mistakes.

This is a very basic implementation of a multi-agent system that connects an Autogen LLM client to one or more MCP (Model Context Protocol) tool servers. You can use it as blueprint for making your MCP workflow from scratch. 🚀

Build Multi-Agent System (from scratch)

multi agent system for deep research from scratch

Multi-Agent Customer Service System made from scratch

A simple multi-agent system built with LangGraph from scratch

Build a Multi-Agent System (from Scratch) With MCP and A2A

complete learning path for mastering LangGraph, from building agents from scratch to implementing sophisticated multi-agent systems.

A from-scratch computational framework for modeling constrained multi-agent dynamical systems.

RAG pipeline, multi-agent system and LLM tools built from scratch in Python

This repository is a demo of creating multi agent system without using ant framework, building agents from Scratch

Coursework for MAS (Multi-Agent Systems). Development of MAS using existing/from-scratch frameworks.

Building LLM-Enabled Multi Agent Applications from Scratch inspired from designing-multiagent-systems by Victor Dibia

A multi-agent system built from scratch without any agent framework — pure Python with Ollama and DuckDuckGo